add model

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: opus-mt-ar-en-finetunedTanzil-v5-ar-to-en
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# opus-mt-ar-en-finetunedTanzil-v5-ar-to-en
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.8101
+- Validation Loss: 0.9477
+- Train Bleu: 9.3241
+- Train Gen Len: 88.73
+- Train Rouge1: 56.4906
+- Train Rouge2: 34.2668
+- Train Rougel: 53.2279
+- Train Rougelsum: 53.7836
+- Epoch: 2
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Train Bleu | Train Gen Len | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Epoch |
+|:----------:|:---------------:|:----------:|:-------------:|:------------:|:------------:|:------------:|:---------------:|:-----:|
+| 0.8735     | 0.9809          | 11.0863    | 78.68         | 56.4557      | 33.3673      | 53.4828      | 54.1197         | 0     |
+| 0.8408     | 0.9647          | 9.8543     | 88.955        | 57.3797      | 34.3539      | 53.8783      | 54.3714         | 1     |
+| 0.8101     | 0.9477          | 9.3241     | 88.73         | 56.4906      | 34.2668      | 53.2279      | 53.7836         | 2     |
+
+
+### Framework versions
+
+- Transformers 4.17.0.dev0
+- TensorFlow 2.7.0
+- Datasets 1.18.4.dev0
+- Tokenizers 0.10.3

config.json

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+{
+  "_name_or_path": "Helsinki-NLP/opus-mt-ar-en",
+  "_num_labels": 3,
+  "activation_dropout": 0.0,
+  "activation_function": "swish",
+  "add_bias_logits": false,
+  "add_final_layer_norm": false,
+  "architectures": [
+    "MarianMTModel"
+  ],
+  "attention_dropout": 0.0,
+  "bad_words_ids": [
+    [
+      62833
+    ]
+  ],
+  "bos_token_id": 0,
+  "classif_dropout": 0.0,
+  "classifier_dropout": 0.0,
+  "d_model": 512,
+  "decoder_attention_heads": 8,
+  "decoder_ffn_dim": 2048,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "decoder_start_token_id": 62833,
+  "dropout": 0.1,
+  "encoder_attention_heads": 8,
+  "encoder_ffn_dim": 2048,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "max_length": 512,
+  "max_position_embeddings": 512,
+  "model_type": "marian",
+  "normalize_before": false,
+  "normalize_embedding": false,
+  "num_beams": 4,
+  "num_hidden_layers": 6,
+  "pad_token_id": 62833,
+  "scale_embedding": true,
+  "static_position_embeddings": true,
+  "transformers_version": "4.17.0.dev0",
+  "use_cache": true,
+  "vocab_size": 62834
+}

tf_model.h5

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+oid sha256:4d69cc60f96f2411cef301e8ab861c34616c2c76536f9ed6c8e392b2c1eb7092
+size 307854560